Gödel Agent: A Self-Referential Agent Framework for Recursive Self-Improvement

[Paper] [Overview] [Installation] [Structure] [Citation]

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Method Overview

Installation

1. Clone the repository:

   git clone https://github.com/Arvid-pku/Godel_Agent.git
   cd Godel_Agent

2. Install dependencies via pip:

   pip install -r requirements.txt

3. Navigate to the source directory and run the main script:

   cd src
   python main.py
   # You can adjust the task in the agent_module.py file.

Project Structure

• datasets/: This folder contains the datasets used in the experiments.

• results/: Stores the self-optimized code generated by the model during each task, as well as the output generated by the model during tests.

• src/: This folder contains the code implementation.

  • main.py: The entry point for running the agent.
  • agent_module.py: Core implementation of the Gödel Agent, including the self-awareness, self-modification, and action execution logic.
  • task_*.py: Evaluation scripts for each task/environment. (adapted from ADAS)
  • logic.py: Stores the generated agent code.
  • wrap.py: Used for debugging.
  • goal_prompt.md: Contains the goal prompt for the agent.

Configuration

Make sure to configure your OpenAI API key in the key.env file before running the code.

Citation

If you find our repository useful in your research, please kindly consider cite:

@misc{yin2024godelagentselfreferentialagent,
      title={G\"odel Agent: A Self-Referential Agent Framework for Recursive Self-Improvement}, 
      author={Xunjian Yin and Xinyi Wang and Liangming Pan and Xiaojun Wan and William Yang Wang},
      year={2024},
      eprint={2410.04444},
      archivePrefix={arXiv},
      primaryClass={cs.AI},
      url={https://arxiv.org/abs/2410.04444}, 
}